My name is Anderson Monken and I’m a Data Science Manager and an Adjunct Professor in Data Science

I specialize in big data, natural language processing, and machine learning. My research interests focus on the application of artificial intelligence to improve economic policymaking.

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Experience

 
 
 
 
 

Group Manager

International Finance Division - Federal Reserve Board of Governors

Feb 2022 – Present Washington D.C.

I am the group manager for the Data Science and Application Development (DSAD) group, which serves as in-house experts in application design, automation, data science, big data, and AI for research, policy, and operational needs at the Federal Reserve Board. We host the Data Science and Engineering Hub in the Division of International Finance.

I lead of a team of 5 data scientists and application developers who manage applications and data that serve hundreds of internal staff. We contribute to the Board’s cloud adoption efforts and maintain many important climate, textual, and trade databases.

Please reach out to me if you want to talk about data science for economics!

 
 
 
 
 

Adjunct Faculty

Data Sicence and Analytics Program - Georgetown University

Jun 2021 – Present Washington D.C.
Teaching graduate students skills in machine learning, data science, and big data
 
 
 
 
 

Technology Analyst

International Finance Division - Federal Reserve Board of Governors

Oct 2018 – Feb 2022 Washington D.C.

Responsibilities include:

  • Research on international trade using machine learning
  • PySpark textual analysis on big data
  • Hadoop database management and wrangling
  • Teaching data science and machine learning topics to staff
 
 
 
 
 

Senior Research Assistant

International Finance Division - Federal Reserve Board of Governors

Jun 2017 – Sep 2018 Washington D.C.

Responsibilities included:

  • Upgrading macroeconomic forecasting architecture
  • Researching developments in labor force participation in advanced economies

Accomplishments

Master’s of Science

Developed skills in data science, machine learning, and deep learning.

  • GPA 4.0/4.0
  • Teaching Assistant for ANLY 501/502/511/512

Bachelor’s of Arts

Majors in Chemistry, Economics, and Mathematics

  • Highest Honors in Economics
  • Honors in Chemistry
  • Phi Beta Kappa
  • GPA 3.9 / 4.0

Recent Publications

Novel graph neural network method to model worldwide trade in the context of a network graph to predict trade unit value.

Ensemble machine learning and association rules mining to improve agricultural trade during outlier events.

Contact

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